Spambase
APISold by Data 37
Email word and character frequencies used to classify spam vs non-spam messages. Source: UCI Machine Learning Repository — https://archive.ics.uci.edu/dataset/94 Data vintage: published 1999 Cleaned and reformatted from the original; see source page for full documentation and citation.
★ Free▣ DS-ready⤓ dataset · csv
Price per download
Free no payment
Method
GET
Networks
Format
csv download
License
UCI ML Repository. Most datasets are licensed CC BY 4.0 — cite the dataset page.
The URL
Send a GET request — parameters go in the query string — no payment, no API key. The relay returns the origin's JSON response directly.
https://api.datapoint.market/r/data37/spambase
Example request
{}
Response shape
Fields
- object
columnsarray of- string
notestringsample_rowsarray of- object
capital_run_length_averagestring average length of uninterrupted runs of capital letterscapital_run_length_longeststring length of the longest uninterrupted run of capital letterscapital_run_length_totalstring total number of capital letters in the emailchar_freq_dollarstring % of characters in the email that are '$'char_freq_exclamationstring % of characters in the email that are '!'char_freq_hashstring % of characters in the email that are '#'char_freq_leftbracketstring % of characters in the email that are '['char_freq_leftparenstring % of characters in the email that are '('char_freq_semicolonstring % of characters in the email that are ';'is_spamstring spam (1) or ham (0) — the target variableword_freq_000string % of words in the email that are '000'word_freq_1999string % of words in the email that are '1999'word_freq_3dstring % of words in the email that are '3d'word_freq_415string % of words in the email that are '415'word_freq_650string % of words in the email that are '650'word_freq_85string % of words in the email that are '85'word_freq_857string % of words in the email that are '857'word_freq_addressstring % of words in the email that are 'address'word_freq_addressesstring % of words in the email that are 'addresses'word_freq_allstring % of words in the email that are 'all'word_freq_businessstring % of words in the email that are 'business'word_freq_conferencestring % of words in the email that are 'conference'word_freq_creditstring % of words in the email that are 'credit'word_freq_csstring % of words in the email that are 'cs'word_freq_datastring % of words in the email that are 'data'word_freq_directstring % of words in the email that are 'direct'word_freq_edustring % of words in the email that are 'edu'word_freq_emailstring % of words in the email that are 'email'word_freq_fontstring % of words in the email that are 'font'word_freq_freestring % of words in the email that are 'free'word_freq_georgestring % of words in the email that are 'george'word_freq_hpstring % of words in the email that are 'hp'word_freq_hplstring % of words in the email that are 'hpl'word_freq_internetstring % of words in the email that are 'internet'word_freq_labstring % of words in the email that are 'lab'word_freq_labsstring % of words in the email that are 'labs'word_freq_mailstring % of words in the email that are 'mail'word_freq_makestring % of words in the email that are 'make'word_freq_meetingstring % of words in the email that are 'meeting'word_freq_moneystring % of words in the email that are 'money'word_freq_orderstring % of words in the email that are 'order'word_freq_originalstring % of words in the email that are 'original'word_freq_ourstring % of words in the email that are 'our'word_freq_overstring % of words in the email that are 'over'word_freq_partsstring % of words in the email that are 'parts'word_freq_peoplestring % of words in the email that are 'people'word_freq_pmstring % of words in the email that are 'pm'word_freq_projectstring % of words in the email that are 'project'word_freq_restring % of words in the email that are 're'word_freq_receivestring % of words in the email that are 'receive'word_freq_removestring % of words in the email that are 'remove'word_freq_reportstring % of words in the email that are 'report'word_freq_tablestring % of words in the email that are 'table'word_freq_technologystring % of words in the email that are 'technology'word_freq_willstring % of words in the email that are 'will'word_freq_youstring % of words in the email that are 'you'word_freq_yourstring % of words in the email that are 'your'
- object
Example rows
| word_freq_make | word_freq_address | word_freq_all | word_freq_3d | word_freq_our | word_freq_over | word_freq_remove | word_freq_internet | word_freq_order | word_freq_mail | word_freq_receive | word_freq_will | word_freq_people | word_freq_report | word_freq_addresses | word_freq_free | word_freq_business | word_freq_email | word_freq_you | word_freq_credit | word_freq_your | word_freq_font | word_freq_000 | word_freq_money | word_freq_hp | word_freq_hpl | word_freq_george | word_freq_650 | word_freq_lab | word_freq_labs | word_freq_telnet | word_freq_857 | word_freq_data | word_freq_415 | word_freq_85 | word_freq_technology | word_freq_1999 | word_freq_parts | word_freq_pm | word_freq_direct | word_freq_cs | word_freq_meeting | word_freq_original | word_freq_project | word_freq_re | word_freq_edu | word_freq_table | word_freq_conference | char_freq_semicolon | char_freq_leftparen | char_freq_leftbracket | char_freq_exclamation | char_freq_dollar | char_freq_hash | capital_run_length_average | capital_run_length_longest | capital_run_length_total | is_spam |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.64 | 0.64 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | 0 | 0.32 | 0 | 1.29 | 1.93 | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.778 | 0 | 0 | 3.756 | 61 | 278 | 1 |
| 0.21 | 0.28 | 0.5 | 0 | 0.14 | 0.28 | 0.21 | 0.07 | 0 | 0.94 | 0.21 | 0.79 | 0.65 | 0.21 | 0.14 | 0.14 | 0.07 | 0.28 | 3.47 | 0 | 1.59 | 0 | 0.43 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132 | 0 | 0.372 | 0.18 | 0.048 | 5.114 | 101 | 1028 | 1 |
| 0.06 | 0 | 0.71 | 0 | 1.23 | 0.19 | 0.19 | 0.12 | 0.64 | 0.25 | 0.38 | 0.45 | 0.12 | 0 | 1.75 | 0.06 | 0.06 | 1.03 | 1.36 | 0.32 | 0.51 | 0 | 1.16 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | 0.12 | 0 | 0.06 | 0.06 | 0 | 0 | 0.01 | 0.143 | 0 | 0.276 | 0.184 | 0.01 | 9.821 | 485 | 2259 | 1 |
Example response (JSON)
{
"columns": [
"word_freq_make",
"word_freq_address",
"word_freq_all",
"word_freq_3d",
"word_freq_our",
"word_freq_over",
"word_freq_remove",
"word_freq_internet",
"word_freq_order",
"word_freq_mail",
"word_freq_receive",
"word_freq_will",
"word_freq_people",
"word_freq_report",
"word_freq_addresses",
"word_freq_free",
"word_freq_business",
"word_freq_email",
"word_freq_you",
"word_freq_credit",
"word_freq_your",
"word_freq_font",
"word_freq_000",
"word_freq_money",
"word_freq_hp",
"word_freq_hpl",
"word_freq_george",
"word_freq_650",
"word_freq_lab",
"word_freq_labs",
"word_freq_telnet",
"word_freq_857",
"word_freq_data",
"word_freq_415",
"word_freq_85",
"word_freq_technology",
"word_freq_1999",
"word_freq_parts",
"word_freq_pm",
"word_freq_direct",
"word_freq_cs",
"word_freq_meeting",
"word_freq_original",
"word_freq_project",
"word_freq_re",
"word_freq_edu",
"word_freq_table",
"word_freq_conference",
"char_freq_semicolon",
"char_freq_leftparen",
"char_freq_leftbracket",
"char_freq_exclamation",
"char_freq_dollar",
"char_freq_hash",
"capital_run_length_average",
"capital_run_length_longest",
"capital_run_length_total",
"is_spam"
],
"note": "Free preview. Full file delivered on download.",
"sample_rows": [
{
"word_freq_make": "0",
"word_freq_address": "0.64",
"word_freq_all": "0.64",
"word_freq_3d": "0",
"word_freq_our": "0.32",
"word_freq_over": "0",
"word_freq_remove": "0",
"word_freq_internet": "0",
"word_freq_order": "0",
"word_freq_mail": "0",
"word_freq_receive": "0",
"word_freq_will": "0.64",
"word_freq_people": "0",
"word_freq_report": "0",
"word_freq_addresses": "0",
"word_freq_free": "0.32",
"word_freq_business": "0",
"word_freq_email": "1.29",
"word_freq_you": "1.93",
"word_freq_credit": "0",
"word_freq_your": "0.96",
"word_freq_font": "0",
"word_freq_000": "0",
"word_freq_money": "0",
"word_freq_hp": "0",
"word_freq_hpl": "0",
"word_freq_george": "0",
"word_freq_650": "0",
"word_freq_lab": "0",
"word_freq_labs": "0",
"word_freq_telnet": "0",
"word_freq_857": "0",
"word_freq_data": "0",
"word_freq_415": "0",
"word_freq_85": "0",
"word_freq_technology": "0",
"word_freq_1999": "0",
"word_freq_parts": "0",
"word_freq_pm": "0",
"word_freq_direct": "0",
"word_freq_cs": "0",
"word_freq_meeting": "0",
"word_freq_original": "0",
"word_freq_project": "0",
"word_freq_re": "0",
"word_freq_edu": "0",
"word_freq_table": "0",
"word_freq_conference": "0",
"char_freq_semicolon": "0",
"char_freq_leftparen": "0",
"char_freq_leftbracket": "0",
"char_freq_exclamation": "0.778",
"char_freq_dollar": "0",
"char_freq_hash": "0",
"capital_run_length_average": "3.756",
"capital_run_length_longest": "61",
"capital_run_length_total": "278",
"is_spam": "1"
},
{
"word_freq_make": "0.21",
"word_freq_address": "0.28",
"word_freq_all": "0.5",
"word_freq_3d": "0",
"word_freq_our": "0.14",
"word_freq_over": "0.28",
"word_freq_remove": "0.21",
"word_freq_internet": "0.07",
"word_freq_order": "0",
"word_freq_mail": "0.94",
"word_freq_receive": "0.21",
"word_freq_will": "0.79",
"word_freq_people": "0.65",
"word_freq_report": "0.21",
"word_freq_addresses": "0.14",
"word_freq_free": "0.14",
"word_freq_business": "0.07",
"word_freq_email": "0.28",
"word_freq_you": "3.47",
"word_freq_credit": "0",
"word_freq_your": "1.59",
"word_freq_font": "0",
"word_freq_000": "0.43",
"word_freq_money": "0.43",
"word_freq_hp": "0",
"word_freq_hpl": "0",
"word_freq_george": "0",
"word_freq_650": "0",
"word_freq_lab": "0",
"word_freq_labs": "0",
"word_freq_telnet": "0",
"word_freq_857": "0",
"word_freq_data": "0",
"word_freq_415": "0",
"word_freq_85": "0",
"word_freq_technology": "0",
"word_freq_1999": "0.07",
"word_freq_parts": "0",
"word_freq_pm": "0",
"word_freq_direct": "0",
"word_freq_cs": "0",
"word_freq_meeting": "0",
"word_freq_original": "0",
"word_freq_project": "0",
"word_freq_re": "0",
"word_freq_edu": "0",
"word_freq_table": "0",
"word_freq_conference": "0",
"char_freq_semicolon": "0",
"char_freq_leftparen": "0.132",
"char_freq_leftbracket": "0",
"char_freq_exclamation": "0.372",
"char_freq_dollar": "0.18",
"char_freq_hash": "0.048",
"capital_run_length_average": "5.114",
"capital_run_length_longest": "101",
"capital_run_length_total": "1028",
"is_spam": "1"
},
{
"word_freq_make": "0.06",
"word_freq_address": "0",
"word_freq_all": "0.71",
"word_freq_3d": "0",
"word_freq_our": "1.23",
"word_freq_over": "0.19",
"word_freq_remove": "0.19",
"word_freq_internet": "0.12",
"word_freq_order": "0.64",
"word_freq_mail": "0.25",
"word_freq_receive": "0.38",
"word_freq_will": "0.45",
"word_freq_people": "0.12",
"word_freq_report": "0",
"word_freq_addresses": "1.75",
"word_freq_free": "0.06",
"word_freq_business": "0.06",
"word_freq_email": "1.03",
"word_freq_you": "1.36",
"word_freq_credit": "0.32",
"word_freq_your": "0.51",
"word_freq_font": "0",
"word_freq_000": "1.16",
"word_freq_money": "0.06",
"word_freq_hp": "0",
"word_freq_hpl": "0",
"word_freq_george": "0",
"word_freq_650": "0",
"word_freq_lab": "0",
"word_freq_labs": "0",
"word_freq_telnet": "0",
"word_freq_857": "0",
"word_freq_data": "0",
"word_freq_415": "0",
"word_freq_85": "0",
"word_freq_technology": "0",
"word_freq_1999": "0",
"word_freq_parts": "0",
"word_freq_pm": "0",
"word_freq_direct": "0.06",
"word_freq_cs": "0",
"word_freq_meeting": "0",
"word_freq_original": "0.12",
"word_freq_project": "0",
"word_freq_re": "0.06",
"word_freq_edu": "0.06",
"word_freq_table": "0",
"word_freq_conference": "0",
"char_freq_semicolon": "0.01",
"char_freq_leftparen": "0.143",
"char_freq_leftbracket": "0",
"char_freq_exclamation": "0.276",
"char_freq_dollar": "0.184",
"char_freq_hash": "0.01",
"capital_run_length_average": "9.821",
"capital_run_length_longest": "485",
"capital_run_length_total": "2259",
"is_spam": "1"
}
]
}declaredfresh
Call it from the shell
curl 'https://api.datapoint.market/r/data37/spambase'
Call it from an agent
Connected in Claude (or any agent on the connector)? Buy it in one call — no API key, no signup. Call it once with no payment to take a free trial (real data) or get a price quote before you pay.
call_endpoint("data37", "spambase", params={})
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Provider: Data 37